Presentation on theme: "NC Energy Estimators Philip Rodrigues. Issues Need to choose what true E to estimate. Options are: –showerEnergy –trueVisibleE –y*E_nu Need to choose."— Presentation transcript:
NC Energy Estimators Philip Rodrigues
Issues Need to choose what true E to estimate. Options are: –showerEnergy –trueVisibleE –y*E_nu Need to choose what reco variable to use. Options galore. Once chosen, calibrate it. –For true NC only, or for background too?
Method Hedge my bets: –Run with different E_true –Run with/without CC bg –Run with different E_reco 1.Plot (E_reco-E_true)/E_true 2.Fit gaussian to peak 3.Scale E_reco until fit peaks at 0 All ND MC so far, until fixed FD MC becomes available
Distributions - Uncalibrated E_reco=event.energyGeV. NC selected by Tom’s cuts Fiducial, high mult clean Fitting peak biases towards calibrating NC True CC events selected as NC tend to have energy overestimated
Distributions – calibrated for NC Fit gaussian to NC selected, true NC True NC well fit, slight bias in background
Choice of E_reco RMS after calibration as measure of width EstimatorTrue NC only+True CC event.energyGeV reco.nuEnergy= reco.nuEnergyCC reco.showerEnergyCC reco.showerEnergyNC shower.deweightCCGeV shower.deweightNCGeV = reco.nuEnergyNC shower.linearCCGeV shower.linearNCGeV
True NC vs all selected: How big is the difference? Phill uses E_true=E_shw + E_mu Scale factors for different choices: deweightNCGeVlinearNCGeV -True CC, -E_mu True CC, -E_mu True CC, +E_mu True CC, +E_mu
Which E_true to use? Not much difference
What next? Performance of estimators as a function of energy Far detector Other ideas?